CN111965099A - Atmospheric corrosivity data compensation method, system, medium and electronic equipment - Google Patents

Atmospheric corrosivity data compensation method, system, medium and electronic equipment Download PDF

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CN111965099A
CN111965099A CN202010642332.5A CN202010642332A CN111965099A CN 111965099 A CN111965099 A CN 111965099A CN 202010642332 A CN202010642332 A CN 202010642332A CN 111965099 A CN111965099 A CN 111965099A
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data
atmospheric
corrosivity
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CN111965099B (en
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樊志彬
李辛庚
姜波
王晓明
宗立君
张振岳
高智悦
闫风洁
李文静
朱耿增
吴亚平
郭凯
王蝶
赵洺哲
米春旭
王倩
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
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Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00Investigating resistance of materials to the weather, to corrosion, or to light
    • G01N17/02Electrochemical measuring systems for weathering, corrosion or corrosion-protection measurement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
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Abstract

The utility model provides a method, a system, a medium and an electronic device for compensating atmospheric corrosivity data, which belongs to the technical field of data atmospheric corrosivity monitoring and comprises the following steps: acquiring atmospheric corrosivity data of an area to be monitored; when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data; the method can effectively compensate data loss caused by equipment failure and other reasons and data deficiency caused by short equipment period, and realize quick and accurate evaluation of atmospheric corrosivity and material corrosion resistance.

Description

Atmospheric corrosivity data compensation method, system, medium and electronic equipment
Technical Field
The disclosure relates to the technical field of atmospheric corrosivity monitoring, in particular to a method, a system, a medium and electronic equipment for compensating atmospheric corrosivity data.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
An atmospheric corrosion detector (ACM) is a device for monitoring atmospheric corrosion in real time by using a galvanic corrosion sensor, truly reflects the corrosion process of a material in an atmospheric environment by monitoring the intensity of a corrosion current signal, can realize continuous automatic monitoring, and can obtain corrosion data in a whole period. The working principle is as follows: the cathode and the anode of the galvanic corrosion sensor are usually made of two materials with larger standard electrode potential difference, and an insulating film layer is added between the two electrodes. When a thin liquid film is not formed on the surface in the atmosphere, obvious atmospheric corrosion does not occur in the two materials, a conduction loop is not formed between the cathode and the anode, and the circuit is in an open circuit state; when a thin liquid film is formed on the surface, both materials begin to corrode, the liquid film formed on the surface is an electrolyte solution, the two electrodes are conducted to form a closed loop, and a corrosion couple pair can be formed, and the corrosion current between the two electrodes can be measured by a picoampere-level ammeter.
The inventor of the present disclosure finds that the atmospheric corrosion detector collects corrosion current at a set time interval, the collection frequency is generally not less than 10 min/time, and long-term data monitoring can evaluate the corrosion resistance of the material and the atmospheric corrosion, but the evaluation of the atmospheric corrosion and the corrosion resistance of the material is difficult to be accurately completed due to data loss caused by equipment failure and the like or insufficient data caused by short collection period.
Disclosure of Invention
In order to solve the defects of the prior art, the disclosure provides an atmospheric corrosivity data compensation method, a system, a medium and electronic equipment, which can effectively compensate data loss caused by equipment faults and other reasons and insufficient data caused by short equipment period, and realize quick and accurate evaluation of atmospheric corrosivity and material corrosion resistance.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
the first aspect of the disclosure provides an atmospheric corrosivity data compensation method.
An atmospheric corrosivity data compensation method comprises the following steps:
acquiring atmospheric corrosivity data of an area to be monitored;
and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
As some possible implementation manners, the atmospheric corrosivity proportion of each month of the area to be monitored is obtained according to historical data of at least one year, and when only data of an integer number of months exist, the annual corrosivity data of the area to be monitored is obtained by dividing the corrosion amount of the known time by the proportion of the corresponding month.
By way of further limitation, when the data is not full month data, the corrosion occupancy of a day is calculated, specifically the corrosion occupancy per month divided by the number of days in the month.
As a further limitation, when the acquired data is more than one month and is not full month data, the annual corrosivity data of the region to be monitored specifically includes: the atmospheric corrosivity data currently acquired is divided by the sum of the proportion of the whole month and the proportion of corrosion of the remaining days.
A second aspect of the disclosure provides an atmospheric corrosivity data compensation system.
An atmospheric corrosivity data compensation system, comprising:
a data acquisition module configured to: acquiring atmospheric corrosivity data of an area to be monitored;
a data compensation module configured to: and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
A third aspect of the present disclosure provides a medium having stored thereon a program which, when executed by a processor, carries out the steps of the method of atmospheric corrosivity data compensation according to the first aspect of the present disclosure.
A fourth aspect of the present disclosure provides an electronic device, comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the atmospheric corrosivity data compensation method according to the first aspect of the present disclosure.
Compared with the prior art, the beneficial effect of this disclosure is:
1. the method, the system, the medium and the electronic equipment can effectively compensate data loss caused by equipment faults and other reasons and data insufficiency caused by short equipment period, and realize quick and accurate evaluation of atmospheric corrosivity and material corrosion resistance under the condition that the data acquisition period is short (not longer than 1 year).
2. According to the method, the system, the medium and the electronic equipment, the data compensation is performed according to different modes for different data loss conditions instead of simply performing the compensation according to the historical data of the previous year, so that the accuracy of the data compensation is greatly improved.
3. The method, the system, the medium and the electronic equipment disclosed by the disclosure are combined with the corrosion proportion of each month in the region to be monitored, so that more accurate compensation of the corrosive data is realized, blind data supplement is avoided, the corrosion proportion of each day is calculated for the number of days exceeding the whole month in the test, each acquired data is fully utilized, and the accuracy of data compensation is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a schematic flow chart of an atmospheric corrosivity data compensation method provided in embodiment 1 of the present disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example 1:
as shown in fig. 1, an embodiment 1 of the present disclosure provides an atmospheric corrosivity data compensation method, including the following steps:
when the data loss is within 1 day, the data collected within 2h can be supplemented by using the data of the nearest time point which is pushed forward by the loss time of the equipment.
When the data loss is within 1 day, and exceeds 2h and is less than or equal to 24h, the data at the same time point on the most adjacent day before the loss date is used for filling.
And when the continuous time of data deletion is more than 1 day and less than 1 month, the data at the same time point before the deletion date is used for supplementing.
And if the continuous missing data time of the current site is not less than 1 month, supplementing the data of the same month in the next year.
When short data of the acquisition period is insufficient and the evaluation of atmospheric corrosion and material corrosion resistance is difficult to complete, the following compensation method can be adopted:
the country is bounded by Qinling mountain-Huaihe river, and the regions of Henan and Shandong are north, including North China, northwest China and northeast China. The monthly atmospheric corrosivity ratio is defined as: 5%, 5%, 6%, 8%, 10%, 14%, 14%, 11%, 10%, 7%, 5%, 5% in 1-12 months, respectively.
The country is bounded by Qinling Ling-Huaihe, and the southern area includes Sichuan, Yunnan, Hainan, Taiwan, etc. The monthly atmospheric corrosivity ratio is defined as: the contents of the extract are respectively 4%, 6%, 7%, 10%, 11%, 11%, 12%, 12%, 12%, 6%, 5% and 4% in 1-12 months.
That is, when only 1 or several months of the corrosion data are satisfied for 1 year, the above ratio can be calculated every month in order to quickly complete the atmospheric corrosivity evaluation. When the data is not full-month data, it should be calculated as corrosion occupancy of the day, which is corrosion occupancy per month/day of the month. The corrosion amount per year in a known time is the year-round corrosion amount of the area.
It is understood that in other embodiments, any missing data can be calculated by a monthly proportion or a daily proportion, and those skilled in the art can select the missing data according to actual situations, and the details are not described herein.
The following analysis was performed by specific case:
case 1:
the atmospheric corrosion detector takes zinc and silver as galvanic couple corrosion sensors to monitor atmospheric corrosion in a certain area, and 1 corrosion current data is acquired every 10 min. Data loss occurs on 1/9/2019 and 13:00-14:00, 7 groups of data are lost totally, and 6 groups of data of 11:50-12:50 are adopted for supplement.
Figure BDA0002571954060000051
Figure BDA0002571954060000061
Case 2:
in a certain city from 7 months 1 days in 2019 to 8 months 9 days in 2019, an atmospheric corrosion detector using carbon steel and platinum as galvanic corrosion sensors continuously detects corrosion data for 40 days, and data compensation is performed in order to quickly obtain atmospheric corrosion rating data of the city in 1 year. The cumulative corrosion amount in 7 months is 3.8 μm, and the corrosion in 7 months accounts for 14% of the whole year; the accumulated corrosion amount of 9 days in 8 months is 1.8 μm, 8 months accounts for 11% of the whole year, and 9 days accounts for the whole year:
Figure BDA0002571954060000062
thus, a 40-day data rating for annual atmospheric corrosivity can be calculated according to the following formula:
Figure BDA0002571954060000063
namely: the 1-year carbon steel corrosion rate of the city is 32.57 mu m, and the atmospheric corrosion grade of the city is C3 according to GB/T19292.1.
Example 2:
an embodiment 2 of the present disclosure provides an atmospheric corrosivity data compensation system, including:
a data acquisition module configured to: acquiring atmospheric corrosivity data of an area to be monitored;
a data compensation module configured to: and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
The working method of the system is the same as the atmospheric corrosivity data compensation method provided in embodiment 1, and details are not repeated here.
Example 3:
the embodiment 3 of the present disclosure provides a medium, on which a program is stored, and when the program is executed by a processor, the method implements the steps in the atmospheric corrosivity data compensation method according to the embodiment 1 of the present disclosure, and the steps are:
acquiring atmospheric corrosivity data of an area to be monitored;
and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
The detailed steps are the same as those of the atmospheric corrosivity data compensation method provided in embodiment 1, and are not described again here.
Example 4:
an embodiment 4 of the present disclosure provides an electronic device, which includes a memory, a processor, and a program stored in the memory and capable of running on the processor, where the processor executes the program to implement the steps in the atmospheric corrosivity data compensation method according to embodiment 1 of the present disclosure, where the steps are:
acquiring atmospheric corrosivity data of an area to be monitored;
and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
The detailed steps are the same as those of the atmospheric corrosivity data compensation method provided in embodiment 1, and are not described again here.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.

Claims (10)

1. An atmospheric corrosivity data compensation method is characterized by comprising the following steps:
acquiring atmospheric corrosivity data of an area to be monitored;
and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
2. The atmospheric corrosivity data compensation method of claim 1, wherein the atmospheric corrosivity proportion of each month of the region to be monitored is obtained according to historical data of at least one year, and when the data is only an integer number of months, the annual corrosivity data of the region to be monitored is obtained by dividing the corrosion amount of the known time by the proportion of the corresponding month.
3. Atmospheric corrosivity data compensation method as claimed in claim 2, characterized in that when the data are not full-month data, the corrosion proportion of a day is calculated, in particular the corrosion proportion of a month divided by the number of days in the month.
4. The atmospheric corrosivity data compensation method of claim 3, wherein when the acquired data is greater than one month and not full month data, the annual corrosivity data of the area to be monitored specifically is: the atmospheric corrosivity data currently acquired is divided by the sum of the proportion of the whole month and the proportion of corrosion of the remaining days.
5. The atmospheric corrosivity data compensation method of claim 1, wherein when the data loss is data collected within one day and not more than two hours, the data of the nearest time point is advanced by adopting the loss time of the same collection device for compensation.
6. The atmospheric corrosivity data compensation method of claim 1, wherein when data is missing for more than two hours and less than or equal to twenty-four hours, the data at the same time point of the most adjacent day before the missing day is used for completion.
7. The atmospheric corrosivity data compensation method of claim 1, wherein when the data loss continuous time is more than one day and less than one month, the data of the same time point before the loss day is adopted for compensation;
alternatively, the first and second electrodes may be,
and if the continuous missing data time of the current site is more than or equal to one month, supplementing the data of the same month in the adjacent year.
8. An atmospheric corrosivity data compensation system, comprising:
a data acquisition module configured to: acquiring atmospheric corrosivity data of an area to be monitored;
a data compensation module configured to: and when the data sampling time is lower than a preset threshold value, acquiring annual corrosive data of the area to be monitored according to the monthly atmospheric corrosive proportion of the area to be monitored and the currently acquired atmospheric corrosive data.
9. A medium on which a program is stored, which program, when being executed by a processor, carries out the steps of the method for compensating atmospheric corrosiveness data according to any of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the atmospheric corrosivity data compensation method according to any of claims 1-7 when executing the program.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113781307A (en) * 2021-09-13 2021-12-10 国网山东省电力公司电力科学研究院 Atmospheric corrosion multi-factor spatial interpolation algorithm, computer equipment and storage medium
CN117787666A (en) * 2024-02-26 2024-03-29 山东省国土空间生态修复中心(山东省地质灾害防治技术指导中心、山东省土地储备中心) Saline-alkali soil information monitoring and treatment method, system, equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5208162A (en) * 1990-05-08 1993-05-04 Purafil, Inc. Method and apparatus for monitoring corrosion
CN101008620A (en) * 2007-01-30 2007-08-01 南京航空航天大学 Method for testing steel corrosion of reinforced concrete members
CN203769760U (en) * 2014-04-04 2014-08-13 中国石油集团工程设计有限责任公司 Corrosion monitoring system for gas well equipment
CN106874511A (en) * 2017-03-06 2017-06-20 云南电网有限责任公司电力科学研究院 A kind of database for corroding quantity of electric charge forecasting system based on insulator metal accessory
CN107560997A (en) * 2017-08-24 2018-01-09 南方电网科学研究院有限责任公司 A kind of monitoring method and device of transmission facility atmospheric corrosion
CN107764723A (en) * 2017-10-19 2018-03-06 中国电子产品可靠性与环境试验研究所 The corrosion resistance method of testing of coating and its application
CN110110916A (en) * 2019-04-29 2019-08-09 哈尔滨哲锡数据科技合伙企业(有限合伙) A kind of prediction technique and system of the medical amount of hospital outpatient

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5208162A (en) * 1990-05-08 1993-05-04 Purafil, Inc. Method and apparatus for monitoring corrosion
CN101008620A (en) * 2007-01-30 2007-08-01 南京航空航天大学 Method for testing steel corrosion of reinforced concrete members
CN203769760U (en) * 2014-04-04 2014-08-13 中国石油集团工程设计有限责任公司 Corrosion monitoring system for gas well equipment
CN106874511A (en) * 2017-03-06 2017-06-20 云南电网有限责任公司电力科学研究院 A kind of database for corroding quantity of electric charge forecasting system based on insulator metal accessory
CN107560997A (en) * 2017-08-24 2018-01-09 南方电网科学研究院有限责任公司 A kind of monitoring method and device of transmission facility atmospheric corrosion
CN107764723A (en) * 2017-10-19 2018-03-06 中国电子产品可靠性与环境试验研究所 The corrosion resistance method of testing of coating and its application
CN110110916A (en) * 2019-04-29 2019-08-09 哈尔滨哲锡数据科技合伙企业(有限合伙) A kind of prediction technique and system of the medical amount of hospital outpatient

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李志平等: "基于稀疏数据规约的CMAC大气腐蚀数据补偿方法", 《计算机应用研究》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113781307A (en) * 2021-09-13 2021-12-10 国网山东省电力公司电力科学研究院 Atmospheric corrosion multi-factor spatial interpolation algorithm, computer equipment and storage medium
CN113781307B (en) * 2021-09-13 2023-09-29 国网山东省电力公司电力科学研究院 Atmospheric corrosion multi-factor spatial interpolation algorithm, computer equipment and storage medium
CN117787666A (en) * 2024-02-26 2024-03-29 山东省国土空间生态修复中心(山东省地质灾害防治技术指导中心、山东省土地储备中心) Saline-alkali soil information monitoring and treatment method, system, equipment and storage medium

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